Software Engineer, Computer Vision & Autonomy

Charles River Analytics•South Kingstown, RI

3h•Onsite

About The Position

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We’d love to hear from you! We are looking for a Software Engineer (early career to senior level) to join our expanding marine systems team in Wakefield, Rhode Island. This role offers the chance to contribute to a growing, innovative defense company and to work on exciting challenges across marine systems, computer vision, and autonomous technologies. In this position, you will apply your passion and expertise in computer vision to develop new prototypes and help transform innovative concepts into practical, mission‑focused solutions with real‑world impact.

Requirements

Bachelor's degree in Computer Science, Computer/Electrical Engineering, or related field
Equivalent work experience is also acceptable
2 or more years of demonstrable experience (or a Master’s degree with a relevant field) with the following (level will be informed by experience):
A modern programming language such as Python and C++
Experience with some of the following: object detection, object tracking, vSLAM, visual odometry, segmentation, image denoising, and/or other subfields of computer vision
Experience with software development and source control best practices (e.g., testing, branching, code reviews)
Experience with containerization
Experience working in, building and setting up Linux computer systems
Able to lift 50 lbs
Willingness to travel to support customer- and integration-related events
U.S. Citizenship
The selected candidate will be expected to possess or apply for a U.S. Government Security Clearance upon being hired

Nice To Haves

5+ years of demonstrated CV / Autonomy experience preferred
Experience with tools like OpenCV and Robot Operating System (ROS)
Experience with deep learning tools such as TensorFlow and PyTorch
Experience developing both research and production-quality software
Experience with data engineering and managing data sets
Experience with computer networking and network programming
Willingness to assist in physical installation, fabrication, testing, and troubleshooting where needed
Willingness to work in the marine environment such as on-board boats
Experience using electrical test equipment (multimeters, and oscilloscopes)
Experience developing for and/or operating uncrewed vehicles
Willingness to travel within the US to support on-site integration and testing with customers

Responsibilities

Implement robust, reusable software with a focus in computer vision/machine learning to support a wide variety of applications, such as object detection/tracking, image manipulation and processing, across a variety of domains: maritime, space, robotics, drone operations
Optimize framework-based (e.g., PyTorch, TensorFlow) deep learning models for fast inference performance
Contribute technically to projects, including developing architectures and detailed designs, reviewing pull requests, and generating content for proposals and reports
Interact with customers (e.g., at project kickoff, at field exercises, etc.), users, and domain experts to analyze and understand challenges and to design and develop engineering solutions accordingly
Work with team members (scientists and other engineers) and customers to understand project goals and translate those goals into technical requirements
Promote and scale technical capabilities towards larger company efforts, transition, and commercialization